GDB debugging assistant for AI agents - analyze core dumps, debug live processes, investigate crashes and deadlocks with source code correlation
Install with the open skills CLI (global, non-interactive — available in every Claude Code session):
npx skills add sickn33/agentic-awesome-skills --skill "gdb-cli" -g -a claude-code -yOr manually — copy the SKILL.md below into:
~/.claude/skills/gdb-cli-sickn33/SKILL.md---
name: gdb-cli
description: "GDB debugging assistant for AI agents - analyze core dumps, debug live processes, investigate crashes and deadlocks with source code correlation"
category: development
risk: critical
source: community
date_added: "2026-03-22"
author: Cerdore
tags:
- debugging
- gdb
- core-dump
- crash-analysis
- c++
- c
tools:
- claude-code
- cursor
- gemini-cli
- codex-cli
- antigravity
---
# GDB Debugging Assistant
## Overview
A GDB debugging skill designed for AI agents. Combines **source code analysis** with **runtime state inspection** using gdb-cli to provide intelligent debugging assistance for C/C++ programs.
## When to Use This Skill
- Analyze core dumps or crash dumps
- Debug running processes with GDB attach
- Investigate crashes, deadlocks, or memory issues
- Get intelligent debugging assistance with source code context
- Debug multi-threaded applications
## Do Not Use This Skill When
- The task is unrelated to C/C++ debugging
- The user needs general-purpose assistance without debugging
- No GDB is available (GDB 9.0+ with Python support required)
## Prerequisites
```bash
# Install gdb-cli
pip install gdb-cli
# Or from GitHub
pip install git+https://github.com/Cerdore/gdb-cli.git
# Verify GDB has Python support
gdb -nx -q -batch -ex "python print('OK')"
```
**Requirements:**
- Python 3.6.8+
- GDB 9.0+ with Python support enabled
- Linux OS
## How It Works
### Step 1: Initialize Debug Session
**For core dump analysis:**
```bash
gdb-cli load --binary <binary_path> --core <core_path> [--gdb-path <gdb_path>]
```
**For live process debugging:**
```bash
gdb-cli attach --pid <pid> [--binary <binary_path>]
```
**Output:** A session_id like `"session_id": "a1b2c3"`. Store this for subsequent commands.
### Step 2: Gather Initial Information
```bash
SESSION="<session_id>"
# List all threads
gdb-cli threads -s $SESSION
# Get backtrace (with local variables)
gdb-cli bt -s $SESSION --full
# Get registers
gdb-cli registers -s $SESSION
```
### Step 3: Correlate Source Code (CRITICAL)
For each frame in the backtrace:
1. **Extract frame info**: `{file}:{line} in {function}`
2. **Read source context**: Get ±20 lines around the crash point
3. **Get local variables**: `gdb-cli locals-cmd -s $SESSION --frame <N>`
4. **Analyze**: Correlate code logic with variable values
**Example correlation:**
```
Frame #0: process_data() at src/worker.c:87
Source code shows:
85: Node* node = get_node(id);
86: if (node == NULL) return;
87: node->data = value; <- Crash here
Variables show:
node = 0x0 (NULL)
Analysis: The NULL check on line 86 didn't catch the issue.
```
### Step 4: Deep Investigation
```bash
# Examine variables
gdb-cli eval-cmd -s $SESSION "variable_name"
gdb-cli eval-cmd -s $SESSION "ptr->field"
gdb-cli ptype -s $SESSION "struct_name"
# Memory inspection
gdb-cli memory -s $SESSION "0x7fffffffe000" --size 64
# Disassembly
gdb-cli disasm -s $SESSION --count 20
# Check all threads (for deadlock analysis)
gdb-cli thread-apply -s $SESSION bt --all
# View shared libraries
gdb-cli sharedlibs -s $SESSION
```
### Step 5: Session Management
```bash
# List active sessions
gdb-cli sessions
# Check session status
gdb-cli status -s $SESSION
# Stop session (cleanup)
gdb-cli stop -s $SESSION
```
## Common Debugging Patterns
### Pattern: Null Pointer Dereference
**Indicators:**
- Crash on memory access instruction
- Pointer variable is 0x0
**Investigation:**
```bash
gdb-cli registers -s $SESSION # Check RIP
gdb-cli eval-cmd -s $SESSION "ptr" # Check pointer value
```
### Pattern: Deadlock
**Indicators:**
- Multiple threads stuck in lock functions
- `pthread_mutex_lock` in backtrace
**Investigation:**
```bash
gdb-cli thread-apply -s $SESSION bt --all
# Look for circular wait patterns
```
### Pattern: Memory Corruption
**Indicators:**
- Crash in malloc/free
- Garbage values in variables
**Investigation:**
```bash
gdb-cli memory -s $SESSION "&variable" --size 128
gdb-cli registers -s $SESSION
```
## Examples
### Example 1: Core Dump Analysis
```bash
# Load core dump
gdb-cli load --binary ./myapp --core /tmp/core.1234
# Get crash location
gdb-cli bt -s a1b2c3 --full
# Examine crash frame
gdb-cli locals-cmd -s a1b2c3 --frame 0
```
### Example 2: Live Process Debugging
```bash
# Attach to stuck server
gdb-cli attach --pid 12345
# Check all threads
gdb-cli threads -s b2c3d4
# Get all backtraces
gdb-cli thread-apply -s b2c3d4 bt --all
```
## Best Practices
- Always read source code before drawing conclusions from variable values
- Use `--range` for pagination on large thread counts or deep backtraces
- Use `ptype` to understand complex data structures before examining values
- Check all threads for multi-threaded issues
- Cross-reference types with source code definitions
## Security & Safety Notes
- This skill requires GDB access to processes and core dumps
- Attaching to processes may require appropriate permissions (sudo, ptrace_scope)
- Core dumps may contain sensitive data - handle with care
- Only debug processes you have authorization to analyze
## Related Skills
- `@systematic-debugging` - General debugging methodology
- `@test-driven-development` - Write tests before implementation
## Links
- **Repository**: https://github.com/Cerdore/gdb-cli
- **PyPI**: https://pypi.org/project/gdb-cli/
- **Documentation**: https://github.com/Cerdore/gdb-cli#readme
## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when implementing any feature or bugfix, before writing implementation code